Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
qwen2.5-sft-neg – AI Model by tingcc01 | AlphaNeural AI
You can deploy this model and start earning money today!
tingcc01
/
qwen2.5-sft-neg
like
0
transformers
safetensors
qwen2_5_vl
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-VL-7B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
neg
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the neg_rationale dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
